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Information about other data or objects. In Amazon Simple Storage Service (Amazon S3) and Amazon EMR (Amazon EMR) metadata takes the form of name–value pairs that describe the object. These include default metadata such as the date last modified and standard HTTP metadata such as Content-Type. Users can also specify custom metadata at the time they store an object. In Amazon Elastic Compute Cloud (Amazon EC2) metadata includes data about an EC2 instance that the instance can retrieve to determine things about itself, such as the instance type, the IP address, and so on.
Tag: metadata
Explaining predictions of Convolutional Neural Networks with ‘sauron’ package.
Feed: R-bloggers. Author: R on Data Science Guts. [This article was first published on R on Data Science Guts, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Explainable Artificial Intelligence, or XAI for short, is a set of tools that helps us understand and interpret complicated “black box” machine and deep learning models and their predictions. In my previous post I showed you a sneak peek of my newest package called sauron, which ... Read More
AWS Cloud Map achieves PCI DSS Certification
Feed: Recent Announcements. AWS Cloud Map is now certified as a Payment Card Industry Data Security Standard (PCI DSS) service. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or any other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries. AWS Cloud Map is a highly available, managed ... Read More
erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

Feed: erwin Expert Blog – erwin, Inc.. Author: Zak Cole. I think it’s fair to say that we’re all glad to usher in a New Year.Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. With that said, here are seven predictions for the New Year: 1. “Death of the Office” Alters Compliance: Because of the pandemic, many organizations have decided remote ... Read More
Your Roadmap for an Enterprise Graph Strategy

Feed: Neo4j Graph Database Platform. Author: Corin Gainey. Presentation SummaryEvery day, people consider bringing graphs into their businesses. They want to know how to win at this conversation and move their business forward.In this presentation, Michael Moore, Executive Director of Knowledge Graphs and AI at Ernst and Young, discusses how to set a roadmap for an enterprise graph strategy.He starts by explaining what graphs are, what graph databases do and what graph use cases there are. Then he demonstrates how to identify graph problems and how to design a proof of concept to solve the graph problems, with an example ... Read More
Announcing the general availability of read/write XMLA endpoints in Power BI Premium
Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We are excited to announce the general availability of read/write XMLA endpoint in Power BI Premium. With XMLA endpoints, Power BI inherits a large ecosystem of developers, partners, BI tools, and solutions built over the years. XMLA endpoints provide access to the Analysis Services engine in the Power BI service, allowing customers to leverage enterprise BI tools directly on Power BI datasets. The read-only capability provided open-platform connectivity for Power BI datasets; enabling single-version-of-the-truth semantic models that are compatible with a range of data-visualization tools from different vendors. Read/write ... Read More
What Is Data Lifecycle Management? A 2020 Guide for Your Business
Feed: Cloudwards. Author: Aleksander Hougen; The larger a business becomes, the more difficult it gets to manage the data it generates in a consistent and safe manner. While this might seem like a benign issue at first, the consequences of poorly managed data can quickly lead to things like data sprawl, lost files or privacy violations that can severely harm a company. Key Takeaways: A proper data lifecycle management strategy is crucial for any business once it reaches a certain size.DLM not only ensures the security, accuracy and availability of an organization’s data, but also compliance with various data regulations.Once ... Read More
Blockchain emerging as Next-Generation Data and Model Governance Framework
Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Introduction and Motivation The blockchain technology has led to a strong foundation for different applications related to asset management, medical/health, finance, and insurance. Data analytics provided by the blockchain network helps efficient data management, analysis, privacy, quality assurance, access, and integration in heterogeneous environments. The role of blockchain in data privacy is evidently becoming more strong when the current breakthroughs in quantum computing render present encryption technologies ineffective and make them susceptible to brute-force attacks. As the volume of data that blockchain networks store is also rapidly increasing over time, let’s explore how blockchain technology can play ... Read More
The Impact of Small Objects on Data Storage
Feed: Featured Blog Posts - Data Science Central. Author: Jonathan Symonds. Over the last decade or so, object storage use cases have evolved considerably as they replace traditional file and block use cases. Specifically the need to work with small data objects is becoming commonplace. Yes, there’s still plenty of large objects but small objects are becoming more prevalent than large for specific workloads and application environments. Traditional object storage systems were designed for large objects that were infrequently accessed. With today’s smaller objects, object storage systems need to be much more dynamic and active. For legacy systems, that transition ... Read More
Optimizing AWS Lambda cost and performance using AWS Compute Optimizer

Feed: AWS Compute Blog. Author: Chad Schmutzer. This post is authored by Brooke Chen, Senior Product Manager for AWS Compute Optimizer, Letian Feng, Principal Product Manager for AWS Compute Optimizer, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Optimizing compute resources is a critical component of any application architecture. Over-provisioning compute can lead to unnecessary infrastructure costs, while under-provisioning compute can lead to poor application performance. Launched in December 2019, AWS Compute Optimizer is a recommendation service for optimizing the cost and performance of AWS compute resources. It generates actionable optimization recommendations tailored to your specific workloads. Over the ... Read More
Building a Controlled Environment Agriculture Platform

Feed: AWS Architecture Blog. This post was co-written by Michael Wirig, Software Engineering Manager at Grōv Technologies. A substantial percentage of the world’s habitable land is used for livestock farming for dairy and meat production. The dairy industry has leveraged technology to gain insights that have led to drastic improvements and are continuing to accelerate. A gallon of milk in 2017 involved 30% less water, 21% less land, a 19% smaller carbon footprint, and 20% less manure than it did in 2007 (US Dairy, 2019). By focusing on smarter water usage and sustainable land usage, livestock farming can grow to ... Read More
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